@ARTICLE { Rsds3663,
author = {Zaras, Kazimierz}, 
title = {Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems}, 
journal = {European Journal of Operational Research}, 
number = 	{(no. 1)}, 
volume = 159, 
pages = {196-206}, 
publisher = {Elsevier Science Inc.}, 
address = {Amsterdam, The Netherlands}, 
month = {November}, 
year = 2004, 
issn = {0377-2217}, 
abstract = {The case of mixed data in which attributes have a different nature is not well known in current literature, although it is essential from a practical point of view. This situation is particularly frequent in risk management modelling which incorporates various degrees of precision of the variables measured, and can also be noted in a planning context for project evaluation problems taking into account information of a mixed (qualitative and quantitative) type. For a set of alternatives evaluated by a set of attributes, three kinds of evaluations are considered in this paper: deterministic, stochastic, or fuzzy with relation to each attribute. The mixed-data multi-attribute dominance for a reduced number of attributes (MMDR) is proposed to model the preferences in this kind of problem. The approach is based on the dominance-based rough set approach proposed by Greco, Matarazzo and Slowinski.}, 
keywords = {multiple criteria analysis, rough sets, mixed-data dominance, mixed-data multi-attribute dominance, decision analysis, }, 
}